Gridded GEDI-Fusion Forest Structure Metrics across Six Western US States, 2016-2020

Description

This dataset provides eight GEDI forest structure metrics relevant to wildlife habitat modeling and biodiversity assessments at 30-m resolutions across Washington, Oregon, Idaho, Montana, Wyoming, and Colorado. The metrics characterize canopy height, strata densities, and canopy cover. The data were derived using random forest modeling and prediction frameworks. The models created were also hindcasted using 2019 and 2020 GEDI footprints back to 2016 on annual time steps leveraging continuous Landsat spectral and disturbance information, Sentinel-1 backscatter metrics and ratios, topographic information, and bioclimatic variables. Machine learning data fusion approaches were used to scale-up structure information provided by the novel space-borne Global Ecosystems Dynamics Investigation (GEDI) waveform lidar sensor to continuous extents using additional satellite-based continuous earth observation data. GEDI provides a consistent sample of forest structure information at 25-m diameter footprints at near-global extents, providing a valuable source of reference information to drive continuous mapping efforts.

Resources

Name Format Description Link
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.3334%2FORNLDAAC%2F2236
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/daacdata/gedi/GEDI_Fusion_Structure/
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/GEDI/guides/GEDI_Fusion_Structure.html
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/2236
33 Gridded GEDI-Fusion Forest Structure Metrics across Six Western US States, 2016-2020: GEDI_Fusion_Structure.pdf https://data.ornldaac.earthdata.nasa.gov/public/gedi/GEDI_Fusion_Structure/comp/GEDI_Fusion_Structure.pdf
34 The browse image displays the 2020 GEDI-fusion relative height 98 (RH98) predicted map product which represents a canopy height measure across the six-state study area at a 30-m spatial resolution. https://daac.ornl.gov/GEDI/guides/GEDI_Fusion_Structure_Fig1.png
21 GEDI Project Site https://gedi.umd.edu
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/daacdata/global_vegetation/GEDI_Fusion_Structure/data/
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/VEGETATION/guides/GEDI_Fusion_Structure.html
33 Gridded GEDI-Fusion Forest Structure Metrics across Six Western US States, 2016-2020: GEDI_Fusion_Structure.pdf https://data.ornldaac.earthdata.nasa.gov/public/global_vegetation/GEDI_Fusion_Structure/comp/GEDI_Fusion_Structure.pdf
34 The browse image displays the 2020 GEDI-fusion relative height 98 (RH98) predicted map product which represents a canopy height measure across the six-state study area at a 30-m spatial resolution. https://daac.ornl.gov/VEGETATION/guides/GEDI_Fusion_Structure_Fig1.png

Tags

  • ecosystems
  • biosphere
  • vegetation
  • earth-science

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